Kaiyuan Li (tsotfsk)

tsotfsk

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Company:Momo

Location:Beijing

Home Page:tsotfsk.top

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Kaiyuan Li's starred repositories

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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LeetCodeAnimation

Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)

ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

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LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

easy-rl

强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/

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einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

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docs

TensorFlow documentation

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RecBole

A unified, comprehensive and efficient recommendation library

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datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

Language:PythonLicense:MITStargazers:2338Issues:48Issues:161

pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

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torchrec

Pytorch domain library for recommendation systems

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AlgoNotes

【浅梦学习笔记】文章汇总:包含 排序&CXR预估,召回匹配,用户画像&特征工程,推荐搜索综合 计算广告,大数据,图算法,NLP&CV,求职面试 等内容

SIF

sentence embedding by Smooth Inverse Frequency weighting scheme

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TextBox

TextBox 2.0 is a text generation library with pre-trained language models

Language:PythonLicense:MITStargazers:1047Issues:18Issues:71

OpenHGNN

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

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MetaSpore

A unified end-to-end machine intelligence platform

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GraphCL

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

Language:PythonLicense:MITStargazers:522Issues:10Issues:69

typora-gitbook-theme

This is a Typora theme is inspired by gitbook.com. Most of the user interface has been overhauled. It contains three variants: two light variants and one dark theme.

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big-ann-benchmarks

Framework for evaluating ANNS algorithms on billion scale datasets.

Language:Jupyter NotebookLicense:MITStargazers:290Issues:17Issues:69

DRL4Recsys

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

IDGL

Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".

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GammaGL

A multi-backend graph learning library.

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RecBole2.0

An up-to-date, comprehensive and flexible recommendation library

RecBole-GNN

Efficient and extensible GNNs enhanced recommender library based on RecBole.

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VQ-Rec

[WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".

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